Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.
- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 28 of 99
2020
Simulation and optimisation of air conditioning systems using machine learning
R Godahewa, C Deng, A Prouzeau, C Bergmeir
arXiv preprint arXiv:2006.15296, 2020
Machine Learning10 citationsBounded suboptimal path planning with compressed path databases
S Zhao, M Chiari, A Botea, AE Gerevini, D Harabor, A Saetti, PJ Stuckey
Proceedings of the International Conference on Automated Planning and …, 2020
Optimization10 citations- Forecasting8 citations
Forecasting functions for time series and linear models. R package.(8.12; p. 1)
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting8 citationsModelling and solving online optimisation problems
A Ek, MG de la Banda, A Schutt, PJ Stuckey, G Tack
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1477-1485, 2020
Research8 citationsRisk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making
F de Nijs, PJ Stuckey
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
Machine Learning7 citationsForecast: forecasting functions for time series and linear models. R package 8.12
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting6 citationsTeaching constraint programming using fable-based learning
M Chan, C Chun, H Fung, JHM Lee, PJ Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13366 …, 2020
Machine Learning6 citationsGaussian embedding of large-scale attributed graphs
B Hettige, YF Li, W Wang, W Buntine
Australasian database conference, 134-146, 2020
Research6 citationsPackage ‘forecast.’Online] https
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting5 citationsDivide and learn: A divide and conquer approach for predict+ optimize
AU Guler, E Demirovic, J Chan, J Bailey, C Leckie, PJ Stuckey
arXiv e-prints, arXiv: 2012.02342, 2020
Research5 citationsExplaining propagators for string edit distance constraints
F Winter, N Musliu, P Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1676-1683, 2020
Machine Learning5 citations
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